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Found 8 papers, 2 papers with code
Exploring Summarization to Enhance Headline Stance Detection
It is especially remarkable that the proposed approach, which uses only the relevant information provided by the automatic summaries instead of the full text, is able to classify the different stance categories with very competitive results, so it can be concluded that the use of the automatic extractive summaries has a positive impact for determining the stance of very short information (i. e., headline, sentence) with respect to its whole content.
Ranked #1 on
Fake News Detection
on FNC-1
Team GPLSI. Approach for automated fact checking
Fever Shared 2. 0 Task is a challenge meant for developing automated fact checking systems.
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions
This paper describes the participation of the SINAI-DL team at RumourEval (Task 7 in SemEval 2019, subtask A: SDQC).
Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering
Building unified timelines from a collection of written news articles requires cross-document event coreference resolution and temporal relation extraction.
Enhancing QA Systems with Complex Temporal Question Processing Capabilities
The temporal layer was first performed for English, then evaluated and compared with: a) a general purpose QA system (F-measure 65. 47% for QA plus English temporal layer vs. 38. 01% for the general QA system), and b) a well-known QA system.
Massively Increasing TIMEX3 Resources: A Transduction Approach
Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction.
TIMEN: An Open Temporal Expression Normalisation Resource
In this paper, we present TIMEN, a community-driven tool for temporal expression normalisation.
Ranked #1 on
Timex normalization
on TimeBank
